Row

confirmed

553

Active Cases

481

recovered

62

death

10

Column

Map

Column

Town cases

COVID19 cases (Erie county)
town confirmed recovered deaths
Buffalo 223 NA NA
Amherst 107 NA NA
Cheektowaga 38 NA NA
Hamburg 30 NA NA
West Seneca 24 NA NA
Tonawanda 20 NA NA
Clarence 19 NA NA
Orchard Park 17 NA NA
Lancaster 16 NA NA
Grand Island 11 NA NA
Aurora 11 NA NA
Alden 7 NA NA
Elma 7 NA NA
Lackawanna 5 NA NA
Evans 4 NA NA
North Collins 4 NA NA
City of Tonawanda 3 NA NA
Concord 2 NA NA
Colden 1 NA NA
Holland 1 NA NA
Eden 1 NA NA
Newstead 1 NA NA
Marilla 1 NA NA
Wales 0 NA NA
Boston 0 NA NA
Total 553 NA NA
Note:
Last updated: (updated 3/31/2020 6:30PM EST)
Data Source
Public Advisories
The data is only for educational and academic research purposes.

Daily cumulative cases

---
title: COVID19 in Erie county
date: "`r gsub('\\(updated |\\ EST)|/2020', '', attributes(counts)$update.time)`"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    navbar:
      - { icon: fa-github, href: "https://github.com/hubentu/COVID19Erie"}
      - { title: "Erie Case Map", href: "https://erieny.maps.arcgis.com/apps/opsdashboard/index.html#/dd7f1c0c352e4192ab162a1dfadc58e1"}
      - { title: "Global Map", href: "https://coronavirus.jhu.edu/map.html"}
    social: menu
    source_code: embed
    vertical_layout: scroll
---

```{r setup, include=FALSE, eval=FALSE}
library(flexdashboard)
library(fontawesome)
library(COVID19Erie)
pubExposed <- exposedPub()
```

```{r}
counts <- caseCounts()
Counts <- rbind(counts,
                c(town = "Total", colSums(counts[,-1])))
ycount <- historyCount$confirmed[historyCount$date == Sys.Date() - 1]
ncount <- attributes(Counts)$total.confirmed - ycount
```




Row {data-width=400}
-----------------------------------------------------------------------

### confirmed {.value-box}

```{r}
valueBox(
  value = attributes(counts)$total.confirmed,
  caption = paste0("Total confirmed cases (+", ncount, ")"),
  icon = "fas fa-ambulance",
  color = "purple"
)
```

### Active Cases {.value-box}
```{r}
valueBox(
  value = attributes(counts)$active.cases,
  caption = "Active cases",
  icon = "fas fa-hospital-user",
  color = "#1f77b4"
)
```

### recovered {.value-box}

```{r}
valueBox(
  value = attributes(counts)$total.recovered,
  caption = "Total recovered cases",
  icon = "fas fa-head-side-mask",
  color = "forestgreen"
)
```

### death {.value-box}

```{r}
valueBox(
  value = attributes(counts)$total.deaths,
  caption = "Death cases",
  icon = "fas fa-heart-broken",
  color = "#474747"
)
```


Column {data-height=800}
-----------------------------------------------------------------------
    
### Map
    
```{r}
caseMap(counts, pubExposed, titlePos = NULL)
```
   
Column {data-height=600}
----------------------------------------------------------------------

### Town cases

```{r}
library(knitr)
library(kableExtra)
kable(Counts,
      caption = "COVID19 cases (Erie county)") %>%
    kable_styling(full_width = TRUE) %>% 
    footnote(general = c(paste("Last updated:", attributes(counts)$update.time),
                         "[Data Source](https://erieny.maps.arcgis.com/apps/opsdashboard/index.html#/dd7f1c0c352e4192ab162a1dfadc58e1)",
                         "[Public Advisories](http://www2.erie.gov/health/index.php?q=public-advisories)",
                         "The data is only for educational and academic research purposes.")) %>%
scroll_box(height = "600px")
```

### Daily cumulative cases
```{r}
countPlot(historyCount)
```